[HTML][HTML] Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis

H Li, H Jiao, Z Yang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted
increasing interest as it helps prevent collision accidents and eliminate potential …

[HTML][HTML] AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

H Li, H Jiao, Z Yang - Transportation Research Part E: Logistics and …, 2023 - Elsevier
Maritime transport faces new safety challenges in an increasingly complex traffic
environment caused by large-scale and high-speed ships, particularly with the introduction …

[HTML][HTML] Skyeyegpt: Unifying remote sensing vision-language tasks via instruction tuning with large language model

Y Zhan, Z **ong, Y Yuan - ISPRS Journal of Photogrammetry and Remote …, 2025 - Elsevier
Large language models (LLMs) have recently been extended to the vision-language realm,
obtaining impressive general multi-modal capabilities. However, the exploration of multi …

Rsvg: Exploring data and models for visual grounding on remote sensing data

Y Zhan, Z **ong, Y Yuan - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
In this article, we introduce the task of visual grounding for remote sensing data (RSVG).
RSVG aims to localize the referred objects in remote sensing (RS) images with the guidance …

[HTML][HTML] Incorporation of AIS data-based machine learning into unsupervised route planning for maritime autonomous surface ships

H Li, Z Yang - Transportation Research Part E: Logistics and …, 2023 - Elsevier
Abstract Maritime Autonomous Surface Ships (MASS) are deemed as the future of maritime
transport. Although showing attractiveness in terms of the solutions to emerging challenges …

[HTML][HTML] Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships

H Li, W **ng, H Jiao, Z Yang, Y Li - Transportation Research Part E …, 2024 - Elsevier
It is critical to have accurate ship trajectory prediction for collision avoidance and intelligent
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …

Generation and application of maritime route networks: overview and future research directions

L Huang, C Wan, Y Wen, R Song… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The development of advanced ship positioning and intelligent sensing technologies has
transformed navigation at sea, moving beyond reliance on captains' experience and …

Parameter-efficient transfer learning for remote sensing image–text retrieval

Y Yuan, Y Zhan, Z **ong - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
Vision-and-language pretraining (VLP) models have experienced a surge in popularity
recently. By fine-tuning them on specific datasets, significant performance improvements …

Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data

M Liang, L Weng, R Gao, Y Li, L Du - Knowledge-Based Systems, 2024 - Elsevier
With the mandatory implementation of the automatic identification system and the rapid
advancement of relevant satellite communication technologies, a vast amount of vessel …

[HTML][HTML] AISClean: AIS data-driven vessel trajectory reconstruction under uncertain conditions

M Liang, J Su, RW Liu, JSL Lam - Ocean Engineering, 2024 - Elsevier
In maritime transportation, intelligent vessel surveillance has become increasingly prevalent
and widespread by collecting and analyzing high massive spatial data from automatic …